Our Vision for JGR: Machine Learning and Computation by E. Camporeale, R. Marino, the Editorial Board

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation by E. R. Echevarria, S. Contardo, B. Pérez‐Díaz, R. K. Hoeke, B. Leighton, C. Trenham, L. Cagigal, F. J. Méndez

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Accelerating the Discovery of Steady‐States of Planetary Interior Dynamics With Machine Learning by Siddhant Agarwal, Nicola Tosi, Christian Hüttig, David S. Greenberg, Ali Can Bekar

“…Journal of Geophysical Research: Machine Learning and Computation…”
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TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education by J. Wilhelm, J. Quinting, M. Burba, S. Hollborn, U. Ehret, I. Pena Sánchez, S. Lerch, J. Meyer, B. Verfürth, P. Knippertz

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How Does Neural Network Reparametrization Improve Geophysical Inversion? by Yuping Wu, Jianwei Ma

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Machine Learning Potential for Serpentines by Hongjin Wang, Chenxing Luo, Renata M. Wentzcovitch

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Journal of Geophysical Research: Machine Learning and Computation…”
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One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application by Yiran Jiang, Jianwei Ma, Jieyuan Ning, Jiaqi Li, Han Wu, Tiezhao Bao

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Machine Learning Detection of Melting Layers From Radar Observations by Yan Xie, Fraser King, Claire Pettersen, Mark Flanner

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics by Pankaj Lal Sahu, Sukumaran Sandeep, Hariprasad Kodamana

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Recommendations for Comprehensive and Independent Evaluation of Machine Learning‐Based Earth System Models by P. A. Ullrich, E. A. Barnes, W. D. Collins, K. Dagon, S. Duan, J. Elms, J. Lee, L. R. Leung, D. Lu, M. J. Molina, T. A. O’Brien, F. O. Rebassoo

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Process‐Based Machine Learning Observationally Constrains Future Regional Warming Projections by Sophie Wilkinson, Peer Nowack, Manoj Joshi

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Detachment of the Subducting Slab in Ancient Subduction Zones Discerned Using Machine Learning by Quan Ou, Dongyu Zheng, Alexander R. L. Nichols, Kun Wang, Sheng‐Ping Qian, Feng Zi, Anlin Ma, Yun‐Chuan Zeng, Zongying Huang, Jia Liao, Zixi Hou

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Uncertainty Quantification of Geophysical and Hydrologic Parameters Estimated From Borehole Nuclear Magnetic Resonance Data by Burke J. Minsley, Stephanie N. Phillips, Stephanie R. James

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Homogeneity Equation for the Effective Elastic Properties of Heterogenous Rocks Developed From Machine Learning by E. Maalouf, H. Kareem, H. Chebli

“…Journal of Geophysical Research: Machine Learning and Computation…”
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A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval by Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang

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Improving PM2.5 and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting by Ziyin Zhang, Jing Xu, Xiujuan Zhao, Siyu Cheng

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Identifying and Predicting the Lagrangian Coherence of Eddies in the Gulf of Mexico Using Machine Learning and Satellite Observations by Luna Hiron, Olmo Zavala‐Romero, Eric P. Chassignet, Philippe Miron, Bulusu Subrahmanyam

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Ice‐kNN‐South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction by Yongcheng Lin, Qinghua Yang, Xuewei Li, Xiaoran Dong, Hao Luo, Yafei Nie, Jiuke Wang, Yiguo Wang, Chao Min

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A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size by Zi‐Hao Wen, Bo Xu, Christopher L. Kirkland, David R. Lentz, Zeng‐Qian Hou, Tao Wang, Mao‐Wen Yuan

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